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Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home
In many countries, the number of elderly people has grown due to the increase in the life expectancy of the population, many of whom currently live alone and are prone to having accidents that they cannot report, especially if they are immobilized. For this reason, we have developed a non-intrusive...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400924/ https://www.ncbi.nlm.nih.gov/pubmed/34450896 http://dx.doi.org/10.3390/s21165454 |
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author | Rodriguez-Goncalves, Roxana Garcia-Crespo, Angel Matheus-Chacin, Carlos Ruiz-Arroyo, Adrian |
author_facet | Rodriguez-Goncalves, Roxana Garcia-Crespo, Angel Matheus-Chacin, Carlos Ruiz-Arroyo, Adrian |
author_sort | Rodriguez-Goncalves, Roxana |
collection | PubMed |
description | In many countries, the number of elderly people has grown due to the increase in the life expectancy of the population, many of whom currently live alone and are prone to having accidents that they cannot report, especially if they are immobilized. For this reason, we have developed a non-intrusive IoT device, which, through multiple integrated sensors, collects information on habitual user behavior patterns and uses it to generate unusual behavior rules. These rules are used by our SecurHome system to send alert messages to the dependent person’s family members or caregivers if their behavior changes abruptly over the course of their daily life. This document describes in detail the design and development of the SecurHome system. |
format | Online Article Text |
id | pubmed-8400924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84009242021-08-29 Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home Rodriguez-Goncalves, Roxana Garcia-Crespo, Angel Matheus-Chacin, Carlos Ruiz-Arroyo, Adrian Sensors (Basel) Article In many countries, the number of elderly people has grown due to the increase in the life expectancy of the population, many of whom currently live alone and are prone to having accidents that they cannot report, especially if they are immobilized. For this reason, we have developed a non-intrusive IoT device, which, through multiple integrated sensors, collects information on habitual user behavior patterns and uses it to generate unusual behavior rules. These rules are used by our SecurHome system to send alert messages to the dependent person’s family members or caregivers if their behavior changes abruptly over the course of their daily life. This document describes in detail the design and development of the SecurHome system. MDPI 2021-08-12 /pmc/articles/PMC8400924/ /pubmed/34450896 http://dx.doi.org/10.3390/s21165454 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rodriguez-Goncalves, Roxana Garcia-Crespo, Angel Matheus-Chacin, Carlos Ruiz-Arroyo, Adrian Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title | Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title_full | Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title_fullStr | Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title_full_unstemmed | Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title_short | Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home |
title_sort | development of an anomaly alert system triggered by unusual behaviors at home |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400924/ https://www.ncbi.nlm.nih.gov/pubmed/34450896 http://dx.doi.org/10.3390/s21165454 |
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